Python Understanding Random forest algorithm














































Python Understanding Random forest algorithm



Conclusion

In this tutorial, we learned about the random forest algorithm in detail. We learn about bootstrap, decision trees, and bagging terms. We understand how decision trees make splits based on the Gini index. we have also learned how to implement random forest classifier using sklearn and how we can improve the model using XGBoost.


You%u2019ve come a long way in understanding one of the most important areas of machine learning! If you have questions or comments, then please put them in the comments section below.


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